Design and implementation of a cloud-based energy monitoring system for 5G base stations

This paper presents the design and implementation of a cloud-based energy monitoring system specifically developed for 5G base stations, with a focus on optimizing energy consumption in civil engineering projects. The proposed system integrates Internet of Things (IoT) sensors, Python for data processing, and SPSS for statistical analysis to collect and analyze real-time energy data from base stations. Through this platform, energy consumption patterns are monitored, providing insights to improve energy efficiency and reduce operational costs in construction environments such as bridges and tunnels. Simulations demonstrate that dynamic power adjustment and renewable energy integration strategies can reduce energy consumption by up to 20%. Furthermore, the system’s scalable cloud-based architecture allows it to accommodate the energy management needs of large-scale infrastructure projects. The research findings indicate that the combination of real-time monitoring, statistical analysis, and predictive modeling has significant potential for improving energy efficiency in 5G base station operations, supporting sustainable practices in civil engineering.